J Weissenburger

54 total papers · 530 total citations
27 papers, 382 citations indexed

About

J Weissenburger is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Small Animals. According to data from OpenAlex, J Weissenburger has authored 27 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 10 papers in Molecular Biology and 4 papers in Small Animals. Recurrent topics in J Weissenburger's work include Cardiac electrophysiology and arrhythmias (16 papers), Cardiac Arrhythmias and Treatments (14 papers) and Ion channel regulation and function (10 papers). J Weissenburger is often cited by papers focused on Cardiac electrophysiology and arrhythmias (16 papers), Cardiac Arrhythmias and Treatments (14 papers) and Ion channel regulation and function (10 papers). J Weissenburger collaborates with scholars based in France, United States and United Kingdom. J Weissenburger's co-authors include Charles Antzelevitch, Vladislav V. Nesterenko, G Cheymol, Patrice Jaillon, Jean‐Marie Poirier, Jean‐Marc Davy, G Motté, Pierre Lainée, J.‐M. POIRIER and J.–M. Davy and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of Pharmacology and Experimental Therapeutics and European Journal of Pharmacology.

In The Last Decade

J Weissenburger

27 papers receiving 369 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J Weissenburger 311 255 36 22 17 27 382
Pierre Morissette 213 0.7× 174 0.7× 37 1.0× 11 0.5× 28 1.6× 24 334
Brian Roche 228 0.7× 151 0.6× 18 0.5× 12 0.5× 9 0.5× 36 371
C. D. Dé Langen 218 0.7× 184 0.7× 63 1.8× 8 0.4× 8 0.5× 17 373
Tetsuya Kitayama 195 0.6× 159 0.6× 45 1.3× 16 0.7× 5 0.3× 17 340
F. James Brennan 246 0.8× 131 0.5× 41 1.1× 28 1.3× 5 0.3× 26 402
Hans‐Jürgen Bruns 281 0.9× 163 0.6× 18 0.5× 10 0.5× 31 1.8× 12 349
Kenneth R. Wyse 326 1.0× 305 1.2× 81 2.3× 10 0.5× 4 0.2× 18 400
F Dessertenne 370 1.2× 208 0.8× 15 0.4× 6 0.3× 8 0.5× 20 395
Ashish Parikh 154 0.5× 84 0.3× 32 0.9× 7 0.3× 26 1.5× 26 381
Tomotsugu Konishi 227 0.7× 117 0.5× 28 0.8× 13 0.6× 3 0.2× 28 345

Countries citing papers authored by J Weissenburger

Since Specialization
Citations

This map shows the geographic impact of J Weissenburger's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J Weissenburger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Weissenburger more than expected).

Fields of papers citing papers by J Weissenburger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J Weissenburger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J Weissenburger. The network helps show where J Weissenburger may publish in the future.

Co-authorship network of co-authors of J Weissenburger

This figure shows the co-authorship network connecting the top 25 collaborators of J Weissenburger. A scholar is included among the top collaborators of J Weissenburger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J Weissenburger. J Weissenburger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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